3 papers
stat.ME2024
Causal Inference on Missing Exposure via Robust Estimation
Yuliang Shi, Yeying Zhu, Joel A. Dubin
How to deal with missing data in observational studies is a common concern for causal inference. When the covariates are missing at random (MAR), multiple approaches have been prov…
eess.SY2023
HAPS-UAV-Enabled Heterogeneous Networks: A Deep Reinforcement Learning Approach
Atefeh H. Arani, Peng Hu, Yeying Zhu
The integrated use of non-terrestrial network (NTN) entities such as the high-altitude platform station (HAPS) and low-altitude platform station (LAPS) has become essential element…
cs.LG2023
Satellite Anomaly Detection Using Variance Based Genetic Ensemble of Neural Networks
Mohammad Amin Maleki Sadr, Yeying Zhu, Peng Hu
In this paper, we use a variance-based genetic ensemble (VGE) of Neural Networks (NNs) to detect anomalies in the satellite's historical data. We use an efficient ensemble of the p…